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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
current_epoch: int64
current_step: int64
total_steps: int64
val_reward: double
consumed_samples: int64
total_valid_tokens: double
clear_answer: string
subject: string
mix_meta: struct<lambda: double, temperature: double, topk: int64, num_generations_per_query: int64, gen_index (... 192 chars omitted)
child 0, lambda: double
child 1, temperature: double
child 2, topk: int64
child 3, num_generations_per_query: int64
child 4, gen_index: int64
child 5, student_token_fraction: double
child 6, num_tokens: int64
child 7, finish_reason: string
child 8, correct: bool
child 9, num_attempts: int64
child 10, max_retries: int64
child 11, extract_mode: string
child 12, ground_truth_assistant: string
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'clear_answer': Value('string'), 'subject': Value('string'), 'mix_meta': {'lambda': Value('float64'), 'temperature': Value('float64'), 'topk': Value('int64'), 'num_generations_per_query': Value('int64'), 'gen_index': Value('int64'), 'student_token_fraction': Value('float64'), 'num_tokens': Value('int64'), 'finish_reason': Value('string'), 'correct': Value('bool'), 'num_attempts': Value('int64'), 'max_retries': Value('int64'), 'extract_mode': Value('string'), 'ground_truth_assistant': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
current_epoch: int64
current_step: int64
total_steps: int64
val_reward: double
consumed_samples: int64
total_valid_tokens: double
clear_answer: string
subject: string
mix_meta: struct<lambda: double, temperature: double, topk: int64, num_generations_per_query: int64, gen_index (... 192 chars omitted)
child 0, lambda: double
child 1, temperature: double
child 2, topk: int64
child 3, num_generations_per_query: int64
child 4, gen_index: int64
child 5, student_token_fraction: double
child 6, num_tokens: int64
child 7, finish_reason: string
child 8, correct: bool
child 9, num_attempts: int64
child 10, max_retries: int64
child 11, extract_mode: string
child 12, ground_truth_assistant: string
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'clear_answer': Value('string'), 'subject': Value('string'), 'mix_meta': {'lambda': Value('float64'), 'temperature': Value('float64'), 'topk': Value('int64'), 'num_generations_per_query': Value('int64'), 'gen_index': Value('int64'), 'student_token_fraction': Value('float64'), 'num_tokens': Value('int64'), 'finish_reason': Value('string'), 'correct': Value('bool'), 'num_attempts': Value('int64'), 'max_retries': Value('int64'), 'extract_mode': Value('string'), 'ground_truth_assistant': Value('string')}}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
messages list | clear_answer string | subject string | mix_meta dict |
|---|---|---|---|
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:... | 165 | E | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4832281634008635,
"num_tokens": 3011,
"finish_reason": "stop",
"correct": true,
"num_attempts": 6,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput... | 118 | G | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.48368200836820086,
"num_tokens": 2390,
"finish_reason": "stop",
"correct": true,
"num_attempts": 15,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tr... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function F. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 14\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 42\n\nInput: 2... | 37 | F | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5043731778425656,
"num_tokens": 1372,
"finish_reason": "stop",
"correct": true,
"num_attempts": 2,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 58 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4854586129753915,
"num_tokens": 894,
"finish_reason": "stop",
"correct": true,
"num_attempts": 3,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_truth... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn... | 26653 | H | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5199044585987261,
"num_tokens": 1256,
"finish_reason": "stop",
"correct": true,
"num_attempts": 2,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput... | 130 | G | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.505,
"num_tokens": 5800,
"finish_reason": "stop",
"correct": true,
"num_attempts": 2,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_truth_assistant":... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2... | 11 | C | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5134453781512605,
"num_tokens": 1190,
"finish_reason": "stop",
"correct": true,
"num_attempts": 1,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 27 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4869375907111756,
"num_tokens": 1378,
"finish_reason": "stop",
"correct": true,
"num_attempts": 22,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 24 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5239485981308412,
"num_tokens": 1712,
"finish_reason": "stop",
"correct": true,
"num_attempts": 12,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2... | 28 | C | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.507172131147541,
"num_tokens": 976,
"finish_reason": "stop",
"correct": true,
"num_attempts": 1,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_truth_... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:... | 0 | E | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4966273187183811,
"num_tokens": 2372,
"finish_reason": "stop",
"correct": true,
"num_attempts": 19,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function B. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 37\n\nInput: 41\nOutput: 9\n\nInput: 45\nOutput: 1\n\nInput: 87397\nOutput: 93\n\nInput: 2... | 40 | B | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5264922870556673,
"num_tokens": 1491,
"finish_reason": "stop",
"correct": true,
"num_attempts": 3,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function B. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 37\n\nInput: 41\nOutput: 9\n\nInput: 45\nOutput: 1\n\nInput: 87397\nOutput: 93\n\nInput: 2... | 136 | B | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5038679731820526,
"num_tokens": 1939,
"finish_reason": "stop",
"correct": true,
"num_attempts": 12,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn... | 26437 | H | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.49775028121484816,
"num_tokens": 1778,
"finish_reason": "stop",
"correct": true,
"num_attempts": 1,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn... | 23524 | H | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.49514563106796117,
"num_tokens": 1751,
"finish_reason": "stop",
"correct": true,
"num_attempts": 6,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 71 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4946987951807229,
"num_tokens": 4150,
"finish_reason": "stop",
"correct": true,
"num_attempts": 1,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 40 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.49401709401709404,
"num_tokens": 2340,
"finish_reason": "stop",
"correct": true,
"num_attempts": 1,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function F. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 14\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 42\n\nInput: 2... | 20 | F | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5017452006980803,
"num_tokens": 1146,
"finish_reason": "stop",
"correct": true,
"num_attempts": 30,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function F. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 14\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 42\n\nInput: 2... | 20 | F | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5204205418520016,
"num_tokens": 2473,
"finish_reason": "stop",
"correct": true,
"num_attempts": 4,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 66 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5106215578284815,
"num_tokens": 1271,
"finish_reason": "stop",
"correct": true,
"num_attempts": 18,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function B. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 37\n\nInput: 41\nOutput: 9\n\nInput: 45\nOutput: 1\n\nInput: 87397\nOutput: 93\n\nInput: 2... | 77 | B | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5064402810304449,
"num_tokens": 1708,
"finish_reason": "stop",
"correct": true,
"num_attempts": 3,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:... | 26 | E | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5156546489563567,
"num_tokens": 4216,
"finish_reason": "stop",
"correct": true,
"num_attempts": 7,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2... | 53 | C | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.509771986970684,
"num_tokens": 1228,
"finish_reason": "stop",
"correct": true,
"num_attempts": 1,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_truth... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput... | 97 | G | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5063451776649747,
"num_tokens": 2364,
"finish_reason": "stop",
"correct": true,
"num_attempts": 2,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput... | 36 | G | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5021186440677966,
"num_tokens": 944,
"finish_reason": "stop",
"correct": true,
"num_attempts": 4,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_truth... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 24 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5020064205457464,
"num_tokens": 2492,
"finish_reason": "stop",
"correct": true,
"num_attempts": 4,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn... | 9154 | H | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.47596532702915684,
"num_tokens": 1269,
"finish_reason": "stop",
"correct": true,
"num_attempts": 1,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 42 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4917175239755885,
"num_tokens": 1147,
"finish_reason": "stop",
"correct": true,
"num_attempts": 3,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput... | 95 | G | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4994250670755079,
"num_tokens": 2609,
"finish_reason": "stop",
"correct": true,
"num_attempts": 12,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tru... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:... | 34 | E | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.49467902506007555,
"num_tokens": 2913,
"finish_reason": "stop",
"correct": true,
"num_attempts": 14,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_tr... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 48 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.5110935023771791,
"num_tokens": 1262,
"finish_reason": "stop",
"correct": true,
"num_attempts": 7,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2... | 39 | C | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4954697186456843,
"num_tokens": 2097,
"finish_reason": "stop",
"correct": true,
"num_attempts": 2,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
[
{
"role": "user",
"content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:... | 15 | D | {
"lambda": 0.5,
"temperature": 0,
"topk": 64,
"num_generations_per_query": 1,
"gen_index": 0,
"student_token_fraction": 0.4813302217036173,
"num_tokens": 1714,
"finish_reason": "stop",
"correct": true,
"num_attempts": 2,
"max_retries": 500,
"extract_mode": "boxed_or_last_number",
"ground_trut... |
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